GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression

被引：0
|
作者：
Searson, Dominic P. [1 ]
Leahy, David E. [1 ]
Willis, Mark J. [2 ]
机构：
[1] Newcastle Univ, Northern Inst Canc Res, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Newcastle Univ, Sch Chem Engn & Adv Mat, Newcastle Upon Tyne, Tyne & Wear, England
来源：
INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III | 2010年
关键词：
genetic programming; symbolic regression; QSAR; toxicity; T; pyriformis; TETRAHYMENA; LIBRARY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this contribution GPTIPS, a free, open source MATLAB toolbox for performing symbolic regression by genetic programming (GP) is introduced. GPTIPS is specifically designed to evolve mathematical models of predictor response data that are "multigene" in nature, i.e. linear combinations of low order non-linear transformations of the input variables. The functionality of GPTIPS is demonstrated by using it to generate an accurate, compact QSAR (quantitative structure activity relationship) model of existing toxicity data in order to predict the toxicity of chemical compounds. It is shown that the low-order "multigene" GP methods implemented by GPTIPS can provide a useful alternative, as well as a complementary approach, to currently accepted empirical modelling and data analysis techniques. GPTIPS and documentation is available for download at http://sites.google.com/site/gptips4matlab/.
引用
收藏
页码：77 / +
页数：2
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